Reinforcement learning for industrial process control: A case study in flatness control in steel industry-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Reinforcement learning for industrial process control: A case study in flatness control in steel industry

Published:2022-12 Issue: Volume:143 Page:103748
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Deng Jifei,Sierla Seppo,Sun Jie,Vyatkin Valeriy

Funder

National Natural Science Foundation of China

China Scholarship Council

Fundamental Research Funds for the Central Universities

Liaoning Revitalization Talents Program

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference39 articles.

1. A deep reinforcement learning approach to improve the learning performance in process control;Bao;Ind. Eng. Chem. Res.,2021

2. Optimization-based automatic flatness control in cold tandem rolling;Bemporad;J. Process Control,2010

3. Time Series Analysis: Forecasting and Control;Box,2015

4. Model-free emergency frequency control based on reinforcement learning;Chen;IEEE Trans. Ind. Inform.,2021

5. Application of neural networks for predicting hot-rolled strip crown;Deng;Appl. Soft Comput. J.,2019

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretable prediction model for decoupling hot rough rolling camber-process parameters;Expert Systems with Applications;2024-12

2. Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation;Underground Space;2024-12

3. Offline reinforcement learning based feeding strategy of ethylene cracking furnace;Computers & Chemical Engineering;2024-09

4. Traffic pattern-aware elevator dispatching via deep reinforcement learning;Advanced Engineering Informatics;2024-08

5. Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning With Real-World Dataset;IEEE Transactions on Industrial Informatics;2024-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3